Overview

Dataset statistics

Number of variables48
Number of observations1510
Missing cells0
Missing cells (%)0.0%
Total size in memory566.4 KiB
Average record size in memory384.1 B

Variable types

TimeSeries40
Categorical1
Numeric7

Alerts

Split_Coefficient has constant value "1.0" Constant
date has a high cardinality: 1510 distinct values High cardinality
Open is non stationary Non stationary
High is non stationary Non stationary
Low is non stationary Non stationary
Close is non stationary Non stationary
Adjusted_Close is non stationary Non stationary
MAMA is non stationary Non stationary
FAMA is non stationary Non stationary
CMO is non stationary Non stationary
MIDPOINT is non stationary Non stationary
T3 is non stationary Non stationary
MIDPRICE is non stationary Non stationary
KAMA is non stationary Non stationary
TRIMA is non stationary Non stationary
ATR is non stationary Non stationary
DEMA is non stationary Non stationary
Chaikin A/D is non stationary Non stationary
OBV is non stationary Non stationary
WMA is non stationary Non stationary
TEMA is non stationary Non stationary
ADXR is non stationary Non stationary
SAR is non stationary Non stationary
Open is seasonal Seasonal
High is seasonal Seasonal
Low is seasonal Seasonal
Close is seasonal Seasonal
Adjusted_Close is seasonal Seasonal
MAMA is seasonal Seasonal
FAMA is seasonal Seasonal
CMO is seasonal Seasonal
MIDPOINT is seasonal Seasonal
T3 is seasonal Seasonal
MIDPRICE is seasonal Seasonal
KAMA is seasonal Seasonal
TRIMA is seasonal Seasonal
DEMA is seasonal Seasonal
Chaikin A/D is seasonal Seasonal
OBV is seasonal Seasonal
WMA is seasonal Seasonal
TEMA is seasonal Seasonal
ADXR is seasonal Seasonal
SAR is seasonal Seasonal
id has unique values Unique
date has unique values Unique
ADOSC has unique values Unique
Dividend_Amount has 1486 (98.4%) zeros Zeros
Aroon Down has 221 (14.6%) zeros Zeros
Aroon Up has 164 (10.9%) zeros Zeros
Return_Target has 1126 (74.6%) zeros Zeros

Reproduction

Analysis started2023-01-08 18:21:24.931668
Analysis finished2023-01-08 18:21:32.314185
Duration7.38 seconds
Software versionpandas-profiling v3.4.0
Download configurationconfig.json

Variables

id
Numeric time series

UNIQUE

Distinct1510
Distinct (%)1.0
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean754.5
Minimum0
Maximum1509
Zeros1
Zeros (%)0.0006622516556291391
Memory size12208
2023-01-08T18:21:32.409792image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile75.45
Q1377.25
median754.5
Q31131.75
95-th percentile1433.55
Maximum1509
Range1509
Interquartile range (IQR)754.5

Descriptive statistics

Standard deviation436.0437669
Coefficient of variation (CV)0.5779241444
Kurtosis-1.2
Mean754.5
Median Absolute Deviation (MAD)377.5
Skewness0
Sum1139295
Variance190134.1667
MonotonicityStrictly increasing
Augmented Dickey-Fuller test p-value7.631508071 × 10-27
2023-01-08T18:21:32.519927image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01
 
0.1%
10031
 
0.1%
10121
 
0.1%
10111
 
0.1%
10101
 
0.1%
10091
 
0.1%
10081
 
0.1%
10071
 
0.1%
10061
 
0.1%
10051
 
0.1%
Other values (1500)1500
99.3%
ValueCountFrequency (%)
01
0.1%
11
0.1%
21
0.1%
31
0.1%
41
0.1%
ValueCountFrequency (%)
15091
0.1%
15081
0.1%
15071
0.1%
15061
0.1%
15051
0.1%
2023-01-08T18:21:32.675395image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

date
Categorical

HIGH CARDINALITY
UNIQUE

Distinct1510
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
2017-01-03
 
1
2020-12-28
 
1
2021-01-11
 
1
2021-01-08
 
1
2021-01-07
 
1
Other values (1505)
1505 

Unique

Unique1510 ?
Unique (%)100.0%

Sample

1st row2017-01-03
2nd row2017-01-04
3rd row2017-01-05
4th row2017-01-06
5th row2017-01-09

Common Values

ValueCountFrequency (%)
2017-01-031
 
0.1%
2020-12-281
 
0.1%
2021-01-111
 
0.1%
2021-01-081
 
0.1%
2021-01-071
 
0.1%
2021-01-061
 
0.1%
2021-01-051
 
0.1%
2021-01-041
 
0.1%
2020-12-311
 
0.1%
2020-12-301
 
0.1%
Other values (1500)1500
99.3%

Open
Numeric time series

NON STATIONARY
SEASONAL

Distinct1286
Distinct (%)0.8516556291390729
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean90.07598675496688
Minimum37.39
Maximum129.94
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:32.848300image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum37.39
5-th percentile66.0175
Q177.4825
median85.895
Q3104.7125
95-th percentile117.9865
Maximum129.94
Range92.55
Interquartile range (IQR)27.23

Descriptive statistics

Standard deviation17.26372784
Coefficient of variation (CV)0.1916573824
Kurtosis-0.4956051384
Mean90.07598675
Median Absolute Deviation (MAD)12.705
Skewness0.07055063689
Sum136014.74
Variance298.0362988
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.3128727899
2023-01-08T18:21:32.948641image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101.973
 
0.2%
116.473
 
0.2%
109.53
 
0.2%
73.193
 
0.2%
80.833
 
0.2%
76.993
 
0.2%
80.473
 
0.2%
99.193
 
0.2%
79.33
 
0.2%
78.923
 
0.2%
Other values (1276)1480
98.0%
ValueCountFrequency (%)
37.391
0.1%
37.51
0.1%
38.291
0.1%
39.981
0.1%
41.161
0.1%
ValueCountFrequency (%)
129.941
0.1%
129.651
0.1%
129.611
0.1%
129.551
0.1%
128.751
0.1%
2023-01-08T18:21:33.279878image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

High
Numeric time series

NON STATIONARY
SEASONAL

Distinct1324
Distinct (%)0.8768211920529801
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean91.09465576158941
Minimum38.85
Maximum130.47
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:33.452687image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum38.85
5-th percentile66.823
Q178.4375
median86.585
Q3105.9925
95-th percentile119.527
Maximum130.47
Range91.62
Interquartile range (IQR)27.555

Descriptive statistics

Standard deviation17.35188123
Coefficient of variation (CV)0.1904818793
Kurtosis-0.5695570215
Mean91.09465576
Median Absolute Deviation (MAD)12.52
Skewness0.1098377149
Sum137552.9302
Variance301.0877821
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.3154780366
2023-01-08T18:21:33.781793image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75.995
 
0.3%
85.124
 
0.3%
81.054
 
0.3%
81.744
 
0.3%
79.53
 
0.2%
84.643
 
0.2%
83.253
 
0.2%
83.443
 
0.2%
85.133
 
0.2%
110.323
 
0.2%
Other values (1314)1475
97.7%
ValueCountFrequency (%)
38.851
0.1%
41.981
0.1%
42.071
0.1%
42.871
0.1%
431
0.1%
ValueCountFrequency (%)
130.471
0.1%
130.091
0.1%
130.041
0.1%
129.981
0.1%
129.941
0.1%
2023-01-08T18:21:33.910827image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

Low
Numeric time series

NON STATIONARY
SEASONAL

Distinct1333
Distinct (%)0.8827814569536424
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean89.00801715231788
Minimum34.44
Maximum128.4401
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:34.086333image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum34.44
5-th percentile65.063
Q176.55
median85.1
Q3103.335
95-th percentile116.872
Maximum128.4401
Range94.0001
Interquartile range (IQR)26.785

Descriptive statistics

Standard deviation17.13499487
Coefficient of variation (CV)0.1925106908
Kurtosis-0.428741603
Mean89.00801715
Median Absolute Deviation (MAD)12.715
Skewness0.03585181333
Sum134402.1059
Variance293.6080491
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.236105686
2023-01-08T18:21:34.188666image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68.713
 
0.2%
112.253
 
0.2%
78.213
 
0.2%
89.013
 
0.2%
79.413
 
0.2%
69.643
 
0.2%
110.053
 
0.2%
78.373
 
0.2%
107.293
 
0.2%
853
 
0.2%
Other values (1323)1480
98.0%
ValueCountFrequency (%)
34.441
0.1%
35.931
0.1%
36.551
0.1%
381
0.1%
38.121
0.1%
ValueCountFrequency (%)
128.44011
0.1%
127.751
0.1%
127.571
0.1%
127.381
0.1%
127.252
0.1%
2023-01-08T18:21:34.315250image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

Close
Numeric time series

NON STATIONARY
SEASONAL

Distinct1327
Distinct (%)0.8788079470198675
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean90.04447682119205
Minimum38.39
Maximum130.03
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:34.489734image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum38.39
5-th percentile65.636
Q177.575
median85.925
Q3104.595
95-th percentile118.394
Maximum130.03
Range91.64
Interquartile range (IQR)27.02

Descriptive statistics

Standard deviation17.21904115
Coefficient of variation (CV)0.191228177
Kurtosis-0.5111651041
Mean90.04447682
Median Absolute Deviation (MAD)12.685
Skewness0.07488308053
Sum135967.16
Variance296.4953782
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.3043511798
2023-01-08T18:21:34.592162image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80.255
 
0.3%
77.54
 
0.3%
76.193
 
0.2%
78.153
 
0.2%
78.643
 
0.2%
77.633
 
0.2%
78.923
 
0.2%
77.643
 
0.2%
102.53
 
0.2%
85.83
 
0.2%
Other values (1317)1477
97.8%
ValueCountFrequency (%)
38.391
0.1%
38.621
0.1%
40.011
0.1%
40.771
0.1%
40.811
0.1%
ValueCountFrequency (%)
130.031
0.1%
129.891
0.1%
129.311
0.1%
128.991
0.1%
128.981
0.1%
2023-01-08T18:21:34.718712image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

Adjusted_Close
Numeric time series

NON STATIONARY
SEASONAL

Distinct1459
Distinct (%)0.9662251655629139
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean82.21931269239623
Minimum35.3550104338031
Maximum123.504696052006
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:34.892501image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum35.35501043
5-th percentile59.58027024
Q168.22408832
median77.51113059
Q395.53907546
95-th percentile114.1932409
Maximum123.5046961
Range88.14968562
Interquartile range (IQR)27.31498714

Descriptive statistics

Standard deviation17.86115725
Coefficient of variation (CV)0.2172379781
Kurtosis-0.6753374098
Mean82.21931269
Median Absolute Deviation (MAD)11.33088004
Skewness0.3592261543
Sum124151.1622
Variance319.0209384
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.3460976538
2023-01-08T18:21:34.995340image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86.132389023
 
0.2%
71.350234273
 
0.2%
67.657683792
 
0.1%
86.092176312
 
0.1%
67.10290962
 
0.1%
74.327715942
 
0.1%
69.634638812
 
0.1%
72.205488682
 
0.1%
85.90720632
 
0.1%
69.528380462
 
0.1%
Other values (1449)1488
98.5%
ValueCountFrequency (%)
35.355010431
0.1%
35.566827381
0.1%
36.846938461
0.1%
37.546855311
0.1%
37.583693041
0.1%
ValueCountFrequency (%)
123.50469611
0.1%
123.43132131
0.1%
123.35961261
0.1%
123.33059591
0.1%
123.29842591
0.1%
2023-01-08T18:21:35.122830image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

Volume
Real number (ℝ≥0)

Distinct1509
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1096331.642
Minimum154109
Maximum4116977
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2023-01-08T18:21:35.315627image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum154109
5-th percentile519103.1
Q1765259.25
median988709.5
Q31294994
95-th percentile2012214.85
Maximum4116977
Range3962868
Interquartile range (IQR)529734.75

Descriptive statistics

Standard deviation492603.3735
Coefficient of variation (CV)0.4493196718
Kurtosis5.003559117
Mean1096331.642
Median Absolute Deviation (MAD)253581
Skewness1.726341068
Sum1655460779
Variance2.426580836 × 1011
MonotonicityNot monotonic
2023-01-08T18:21:35.441922image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9355182
 
0.1%
12705711
 
0.1%
9660451
 
0.1%
6597111
 
0.1%
8420311
 
0.1%
10271091
 
0.1%
11945951
 
0.1%
9947491
 
0.1%
12056041
 
0.1%
5137341
 
0.1%
Other values (1499)1499
99.3%
ValueCountFrequency (%)
1541091
0.1%
1624591
0.1%
2422721
0.1%
2599481
0.1%
2823791
0.1%
ValueCountFrequency (%)
41169771
0.1%
39809431
0.1%
38405981
0.1%
38198831
0.1%
37522751
0.1%

Dividend_Amount
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01025165563
Minimum0
Maximum0.79
Zeros1486
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2023-01-08T18:21:35.551957image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.79
Range0.79
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08138506257
Coefficient of variation (CV)7.938723804
Kurtosis62.29583647
Mean0.01025165563
Median Absolute Deviation (MAD)0
Skewness7.949288402
Sum15.48
Variance0.00662352841
MonotonicityNot monotonic
2023-01-08T18:21:35.635572image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
01486
98.4%
0.564
 
0.3%
0.624
 
0.3%
0.664
 
0.3%
0.694
 
0.3%
0.764
 
0.3%
0.513
 
0.2%
0.791
 
0.1%
ValueCountFrequency (%)
01486
98.4%
0.513
 
0.2%
0.564
 
0.3%
0.624
 
0.3%
0.664
 
0.3%
ValueCountFrequency (%)
0.791
 
0.1%
0.764
0.3%
0.694
0.3%
0.664
0.3%
0.624
0.3%

Split_Coefficient
Real number (ℝ≥0)

CONSTANT
REJECTED

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2023-01-08T18:21:35.721327image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum1510
Variance0
MonotonicityIncreasing
2023-01-08T18:21:35.793317image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
11510
100.0%
ValueCountFrequency (%)
11510
100.0%
ValueCountFrequency (%)
11510
100.0%

MAMA
Numeric time series

NON STATIONARY
SEASONAL

Distinct1506
Distinct (%)0.9973509933774835
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean80.2207082781457
Minimum58.6629
Maximum109.2437
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:35.876364image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum58.6629
5-th percentile60.93603
Q167.63575
median75.57275
Q392.34875
95-th percentile107.269995
Maximum109.2437
Range50.5808
Interquartile range (IQR)24.713

Descriptive statistics

Standard deviation15.39028331
Coefficient of variation (CV)0.1918492574
Kurtosis-1.102948637
Mean80.22070828
Median Absolute Deviation (MAD)9.85235
Skewness0.5022495997
Sum121133.2695
Variance236.8608203
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.2975190741
2023-01-08T18:21:35.979741image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68.56832
 
0.1%
68.55662
 
0.1%
85.38352
 
0.1%
79.69282
 
0.1%
76.45141
 
0.1%
78.24371
 
0.1%
78.0181
 
0.1%
77.75691
 
0.1%
77.52081
 
0.1%
77.2961
 
0.1%
Other values (1496)1496
99.1%
ValueCountFrequency (%)
58.66291
0.1%
58.72171
0.1%
58.78231
0.1%
58.84251
0.1%
58.89471
0.1%
ValueCountFrequency (%)
109.24371
0.1%
109.2251
0.1%
109.18011
0.1%
109.16941
0.1%
109.13741
0.1%
2023-01-08T18:21:36.107906image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

FAMA
Numeric time series

NON STATIONARY
SEASONAL

Distinct1507
Distinct (%)0.9980132450331126
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean75.11743046357617
Minimum58.148
Maximum98.9133
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:36.285331image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum58.148
5-th percentile59.029225
Q167.149325
median72.85055
Q378.437425
95-th percentile98.37261
Maximum98.9133
Range40.7653
Interquartile range (IQR)11.2881

Descriptive statistics

Standard deviation11.66991157
Coefficient of variation (CV)0.1553555746
Kurtosis-0.4216114787
Mean75.11743046
Median Absolute Deviation (MAD)5.7012
Skewness0.7137899291
Sum113427.32
Variance136.1868361
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.270716468
2023-01-08T18:21:36.395998image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76.96962
 
0.1%
77.01372
 
0.1%
77.01482
 
0.1%
58.1481
 
0.1%
68.30511
 
0.1%
68.20391
 
0.1%
68.15461
 
0.1%
68.10631
 
0.1%
68.0591
 
0.1%
68.01261
 
0.1%
Other values (1497)1497
99.1%
ValueCountFrequency (%)
58.1481
0.1%
58.15091
0.1%
58.15411
0.1%
58.15751
0.1%
58.16121
0.1%
ValueCountFrequency (%)
98.91331
0.1%
98.9131
0.1%
98.91261
0.1%
98.91161
0.1%
98.91091
0.1%
2023-01-08T18:21:36.530703image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

TRIX
Numeric time series

Distinct1385
Distinct (%)0.9172185430463576
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean0.019966821192052977
Minimum-1.2357
Maximum0.7441
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:36.709956image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1.2357
5-th percentile-0.43234
Q1-0.124375
median0.0766
Q30.176775
95-th percentile0.353175
Maximum0.7441
Range1.9798
Interquartile range (IQR)0.30115

Descriptive statistics

Standard deviation0.2704105118
Coefficient of variation (CV)13.54299261
Kurtosis3.201460705
Mean0.01996682119
Median Absolute Deviation (MAD)0.1451
Skewness-1.109105426
Sum30.1499
Variance0.07312184487
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value4.090324667 × 10-5
2023-01-08T18:21:36.825955image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.09624
 
0.3%
0.30853
 
0.2%
0.16483
 
0.2%
0.09583
 
0.2%
-0.15513
 
0.2%
0.13153
 
0.2%
-0.09053
 
0.2%
0.18483
 
0.2%
0.08023
 
0.2%
0.09633
 
0.2%
Other values (1375)1479
97.9%
ValueCountFrequency (%)
-1.23571
0.1%
-1.23351
0.1%
-1.23261
0.1%
-1.22671
0.1%
-1.22181
0.1%
ValueCountFrequency (%)
0.74411
0.1%
0.74271
0.1%
0.73861
0.1%
0.73311
0.1%
0.73031
0.1%
2023-01-08T18:21:37.190010image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

CMO
Numeric time series

NON STATIONARY
SEASONAL

Distinct1503
Distinct (%)0.9953642384105961
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean2.5014799337748337
Minimum-60.7176
Maximum55.4418
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:37.365841image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-60.7176
5-th percentile-34.837625
Q1-9.3351
median5.4625
Q316.36925
95-th percentile30.514705
Maximum55.4418
Range116.1594
Interquartile range (IQR)25.70435

Descriptive statistics

Standard deviation19.39853212
Coefficient of variation (CV)7.754822197
Kurtosis0.07004523658
Mean2.501479934
Median Absolute Deviation (MAD)12.5539
Skewness-0.555178865
Sum3777.2347
Variance376.3030483
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value5.295042994 × 10-9
2023-01-08T18:21:37.473712image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17.70332
 
0.1%
33.26922
 
0.1%
23.82912
 
0.1%
2.98022
 
0.1%
10.64752
 
0.1%
3.34032
 
0.1%
6.73432
 
0.1%
5.2371
 
0.1%
20.10211
 
0.1%
33.85191
 
0.1%
Other values (1493)1493
98.9%
ValueCountFrequency (%)
-60.71761
0.1%
-58.60881
0.1%
-56.50371
0.1%
-54.61191
0.1%
-54.16221
0.1%
ValueCountFrequency (%)
55.44181
0.1%
47.51871
0.1%
46.89271
0.1%
46.12231
0.1%
45.22721
0.1%
2023-01-08T18:21:37.605143image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

MACD
Numeric time series

Distinct1498
Distinct (%)0.9920529801324504
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean0.09414529801324498
Minimum-10.9583
Maximum6.324
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:37.780191image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-10.9583
5-th percentile-4.676925
Q1-1.0097
median0.4013
Q31.64415
95-th percentile3.63637
Maximum6.324
Range17.2823
Interquartile range (IQR)2.65385

Descriptive statistics

Standard deviation2.533401612
Coefficient of variation (CV)26.90948635
Kurtosis2.093762572
Mean0.09414529801
Median Absolute Deviation (MAD)1.3355
Skewness-0.9855863002
Sum142.1594
Variance6.418123728
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value4.296703904 × 10-5
2023-01-08T18:21:37.890323image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.84973
 
0.2%
1.21822
 
0.1%
0.20652
 
0.1%
-0.65622
 
0.1%
2.41092
 
0.1%
-0.08632
 
0.1%
-1.17342
 
0.1%
0.96792
 
0.1%
0.67282
 
0.1%
0.53752
 
0.1%
Other values (1488)1489
98.6%
ValueCountFrequency (%)
-10.95831
0.1%
-10.91431
0.1%
-10.6031
0.1%
-10.28311
0.1%
-10.17221
0.1%
ValueCountFrequency (%)
6.3241
0.1%
6.16891
0.1%
6.111
0.1%
6.09361
0.1%
6.07681
0.1%
2023-01-08T18:21:38.024257image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

MACD_Signal
Numeric time series

Distinct1496
Distinct (%)0.990728476821192
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean0.0989909271523179
Minimum-10.0563
Maximum5.832
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:38.200723image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-10.0563
5-th percentile-4.502415
Q1-0.888825
median0.38755
Q31.57465
95-th percentile3.514565
Maximum5.832
Range15.8883
Interquartile range (IQR)2.463475

Descriptive statistics

Standard deviation2.400963998
Coefficient of variation (CV)24.25438438
Kurtosis2.043324407
Mean0.09899092715
Median Absolute Deviation (MAD)1.22325
Skewness-1.000918871
Sum149.4763
Variance5.764628119
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value4.534700741 × 10-8
2023-01-08T18:21:38.315538image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.15212
 
0.1%
0.25282
 
0.1%
0.33872
 
0.1%
-3.95422
 
0.1%
-0.17812
 
0.1%
1.3032
 
0.1%
0.16772
 
0.1%
0.16452
 
0.1%
-3.08772
 
0.1%
0.59452
 
0.1%
Other values (1486)1490
98.7%
ValueCountFrequency (%)
-10.05631
0.1%
-10.04971
0.1%
-9.90641
0.1%
-9.84651
0.1%
-9.63971
0.1%
ValueCountFrequency (%)
5.8321
0.1%
5.81841
0.1%
5.74581
0.1%
5.6851
0.1%
5.54111
0.1%
2023-01-08T18:21:38.452091image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

MACD_Hist
Numeric time series

Distinct1475
Distinct (%)0.9768211920529801
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean-0.004845033112582781
Minimum-4.6812
Maximum5.0871
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:38.624261image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4.6812
5-th percentile-1.87906
Q1-0.7362
median-0.02255
Q30.721025
95-th percentile2.038345
Maximum5.0871
Range9.7683
Interquartile range (IQR)1.457225

Descriptive statistics

Standard deviation1.204774836
Coefficient of variation (CV)-248.6618374
Kurtosis1.180518752
Mean-0.004845033113
Median Absolute Deviation (MAD)0.72675
Skewness0.1752648462
Sum-7.316
Variance1.451482406
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value5.004795734 × 10-13
2023-01-08T18:21:38.726447image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.22552
 
0.1%
0.12512
 
0.1%
1.56382
 
0.1%
0.33672
 
0.1%
0.2892
 
0.1%
0.14282
 
0.1%
-0.06832
 
0.1%
-1.53482
 
0.1%
1.05442
 
0.1%
0.54422
 
0.1%
Other values (1465)1490
98.7%
ValueCountFrequency (%)
-4.68121
0.1%
-4.6431
0.1%
-4.50851
0.1%
-4.30531
0.1%
-4.15281
0.1%
ValueCountFrequency (%)
5.08711
0.1%
4.84531
0.1%
4.8071
0.1%
4.41951
0.1%
4.38731
0.1%
2023-01-08T18:21:38.909098image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

MIDPOINT
Numeric time series

NON STATIONARY
SEASONAL

Distinct669
Distinct (%)0.44304635761589406
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean82.08361218543047
Minimum41.1675
Maximum119.9998
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:39.085980image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum41.1675
5-th percentile61.092045
Q167.8568
median77.3791
Q395.848975
95-th percentile114.17851
Maximum119.9998
Range78.8323
Interquartile range (IQR)27.992175

Descriptive statistics

Standard deviation17.58033949
Coefficient of variation (CV)0.2141759972
Kurtosis-0.8013870082
Mean82.08361219
Median Absolute Deviation (MAD)11.3601
Skewness0.3863105177
Sum123946.2544
Variance309.0683367
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.5184065896
2023-01-08T18:21:39.200309image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66.4814
 
0.9%
71.629713
 
0.9%
118.905612
 
0.8%
98.44712
 
0.8%
106.28312
 
0.8%
90.663612
 
0.8%
76.795612
 
0.8%
66.738211
 
0.7%
69.569710
 
0.7%
67.160810
 
0.7%
Other values (659)1392
92.2%
ValueCountFrequency (%)
41.16752
0.1%
42.02261
0.1%
43.71261
0.1%
43.90971
0.1%
44.78591
0.1%
ValueCountFrequency (%)
119.99988
0.5%
119.9952
 
0.1%
119.69911
 
0.1%
119.29731
 
0.1%
119.21661
 
0.1%
2023-01-08T18:21:40.615287image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

APO
Numeric time series

Distinct1498
Distinct (%)0.9920529801324504
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean0.09414529801324498
Minimum-10.9583
Maximum6.324
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:40.792123image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-10.9583
5-th percentile-4.676925
Q1-1.0097
median0.4013
Q31.64415
95-th percentile3.63637
Maximum6.324
Range17.2823
Interquartile range (IQR)2.65385

Descriptive statistics

Standard deviation2.533401612
Coefficient of variation (CV)26.90948635
Kurtosis2.093762572
Mean0.09414529801
Median Absolute Deviation (MAD)1.3355
Skewness-0.9855863002
Sum142.1594
Variance6.418123728
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value4.296703904 × 10-5
2023-01-08T18:21:40.902053image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.84973
 
0.2%
1.21822
 
0.1%
0.20652
 
0.1%
-0.65622
 
0.1%
2.41092
 
0.1%
-0.08632
 
0.1%
-1.17342
 
0.1%
0.96792
 
0.1%
0.67282
 
0.1%
0.53752
 
0.1%
Other values (1488)1489
98.6%
ValueCountFrequency (%)
-10.95831
0.1%
-10.91431
0.1%
-10.6031
0.1%
-10.28311
0.1%
-10.17221
0.1%
ValueCountFrequency (%)
6.3241
0.1%
6.16891
0.1%
6.111
0.1%
6.09361
0.1%
6.07681
0.1%
2023-01-08T18:21:41.035370image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

T3
Numeric time series

NON STATIONARY
SEASONAL

Distinct1508
Distinct (%)0.9986754966887417
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean82.11327721854305
Minimum39.4531
Maximum121.658
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:41.207916image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum39.4531
5-th percentile60.39361
Q168.038875
median77.5656
Q397.20985
95-th percentile114.586945
Maximum121.658
Range82.2049
Interquartile range (IQR)29.170975

Descriptive statistics

Standard deviation17.92681486
Coefficient of variation (CV)0.2183181024
Kurtosis-0.6946462284
Mean82.11327722
Median Absolute Deviation (MAD)11.2626
Skewness0.3605062689
Sum123991.0486
Variance321.370691
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.3708123257
2023-01-08T18:21:41.311256image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71.53032
 
0.1%
71.55532
 
0.1%
92.82341
 
0.1%
93.39551
 
0.1%
98.2021
 
0.1%
98.02391
 
0.1%
97.8781
 
0.1%
97.77041
 
0.1%
97.68761
 
0.1%
97.62231
 
0.1%
Other values (1498)1498
99.2%
ValueCountFrequency (%)
39.45311
0.1%
39.52071
0.1%
39.52971
0.1%
39.71961
0.1%
39.74641
0.1%
ValueCountFrequency (%)
121.6581
0.1%
121.6441
0.1%
121.57761
0.1%
121.5531
0.1%
121.41371
0.1%
2023-01-08T18:21:43.328721image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

MIDPRICE
Numeric time series

NON STATIONARY
SEASONAL

Distinct680
Distinct (%)0.4503311258278146
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean81.9460184768212
Minimum39.9707
Maximum119.8574
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:43.507767image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum39.9707
5-th percentile61.55
Q167.9172
median77.4558
Q396.1456
95-th percentile114.1435
Maximum119.8574
Range79.8867
Interquartile range (IQR)28.2284

Descriptive statistics

Standard deviation17.57181191
Coefficient of variation (CV)0.2144315518
Kurtosis-0.7826787314
Mean81.94601848
Median Absolute Deviation (MAD)11.45705
Skewness0.3741264989
Sum123738.4879
Variance308.7685737
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.4766034385
2023-01-08T18:21:43.619439image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66.420117
 
1.1%
71.34617
 
1.1%
106.541713
 
0.9%
107.618713
 
0.9%
118.148713
 
0.9%
77.323712
 
0.8%
67.333312
 
0.8%
64.912112
 
0.8%
85.102111
 
0.7%
69.074711
 
0.7%
Other values (670)1379
91.3%
ValueCountFrequency (%)
39.97071
0.1%
40.78861
0.1%
41.30091
0.1%
42.10551
0.1%
42.86261
0.1%
ValueCountFrequency (%)
119.85746
0.4%
119.83632
 
0.1%
119.57261
 
0.1%
119.44491
 
0.1%
119.38751
 
0.1%
2023-01-08T18:21:43.982510image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

KAMA
Numeric time series

NON STATIONARY
SEASONAL

Distinct1503
Distinct (%)0.9953642384105961
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean81.4974338410596
Minimum40.535
Maximum117.3612
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:44.160776image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum40.535
5-th percentile60.44532
Q168.086075
median75.68325
Q394.956875
95-th percentile112.87667
Maximum117.3612
Range76.8262
Interquartile range (IQR)26.8708

Descriptive statistics

Standard deviation17.84181288
Coefficient of variation (CV)0.2189248426
Kurtosis-0.7938962394
Mean81.49743384
Median Absolute Deviation (MAD)11.49415
Skewness0.3363266371
Sum123061.1251
Variance318.3302868
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.4084733103
2023-01-08T18:21:44.272932image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65.42892
 
0.1%
73.26582
 
0.1%
73.28642
 
0.1%
90.61632
 
0.1%
67.92152
 
0.1%
70.88982
 
0.1%
90.67662
 
0.1%
62.58641
 
0.1%
92.54741
 
0.1%
94.34791
 
0.1%
Other values (1493)1493
98.9%
ValueCountFrequency (%)
40.5351
0.1%
40.67911
0.1%
40.79511
0.1%
40.82541
0.1%
40.91161
0.1%
ValueCountFrequency (%)
117.36121
0.1%
117.34231
0.1%
117.33661
0.1%
117.33551
0.1%
117.3171
0.1%
2023-01-08T18:21:44.408445image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

TRIMA
Numeric time series

NON STATIONARY
SEASONAL

Distinct1508
Distinct (%)0.9986754966887417
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean82.10296516556292
Minimum39.7384
Maximum120.2678
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:44.585826image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum39.7384
5-th percentile60.03726
Q168.16625
median77.1831
Q395.864725
95-th percentile114.11509
Maximum120.2678
Range80.5294
Interquartile range (IQR)27.698475

Descriptive statistics

Standard deviation17.74913056
Coefficient of variation (CV)0.2161813587
Kurtosis-0.7635838541
Mean82.10296517
Median Absolute Deviation (MAD)11.33175
Skewness0.3739995344
Sum123975.4774
Variance315.0316357
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.5614653348
2023-01-08T18:21:44.697903image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70.03482
 
0.1%
85.07492
 
0.1%
63.77311
 
0.1%
95.6891
 
0.1%
95.61551
 
0.1%
95.61391
 
0.1%
95.66641
 
0.1%
95.76251
 
0.1%
95.88041
 
0.1%
95.93591
 
0.1%
Other values (1498)1498
99.2%
ValueCountFrequency (%)
39.73841
0.1%
39.75371
0.1%
39.95231
0.1%
39.95711
0.1%
40.36231
0.1%
ValueCountFrequency (%)
120.26781
0.1%
120.21661
0.1%
120.21461
0.1%
120.11561
0.1%
120.00021
0.1%
2023-01-08T18:21:44.836295image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

MFI
Numeric time series

Distinct1506
Distinct (%)0.9973509933774835
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean52.06913066225166
Minimum11.874
Maximum85.8577
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:45.012894image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum11.874
5-th percentile28.64458
Q144.798
median53.1165
Q360.878025
95-th percentile70.978705
Maximum85.8577
Range73.9837
Interquartile range (IQR)16.080025

Descriptive statistics

Standard deviation12.65742126
Coefficient of variation (CV)0.2430887764
Kurtosis0.07406215753
Mean52.06913066
Median Absolute Deviation (MAD)8.0583
Skewness-0.4261035806
Sum78624.3873
Variance160.210313
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value9.387889114 × 10-9
2023-01-08T18:21:45.122138image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64.722
 
0.1%
52.45832
 
0.1%
44.44132
 
0.1%
65.41692
 
0.1%
60.27181
 
0.1%
56.97091
 
0.1%
59.0391
 
0.1%
53.53631
 
0.1%
59.11
 
0.1%
58.49341
 
0.1%
Other values (1496)1496
99.1%
ValueCountFrequency (%)
11.8741
0.1%
12.19611
0.1%
12.51641
0.1%
12.51821
0.1%
15.7281
0.1%
ValueCountFrequency (%)
85.85771
0.1%
82.57191
0.1%
81.91541
0.1%
81.5481
0.1%
80.13491
0.1%
2023-01-08T18:21:45.254458image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

ATR
Numeric time series

NON STATIONARY

Distinct1459
Distinct (%)0.9662251655629139
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean2.0939758278145693
Minimum0.9304
Maximum3.6734
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:45.426380image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0.9304
5-th percentile1.044625
Q11.5655
median2.0496
Q32.71005
95-th percentile3.18866
Maximum3.6734
Range2.743
Interquartile range (IQR)1.14455

Descriptive statistics

Standard deviation0.7026619708
Coefficient of variation (CV)0.335563554
Kurtosis-1.129857914
Mean2.093975828
Median Absolute Deviation (MAD)0.5905
Skewness0.06270907001
Sum3161.9035
Variance0.4937338452
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.1036265799
2023-01-08T18:21:45.530136image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.7013
 
0.2%
1.01493
 
0.2%
1.58872
 
0.1%
1.05032
 
0.1%
1.52952
 
0.1%
2.94382
 
0.1%
1.1072
 
0.1%
1.01652
 
0.1%
3.19072
 
0.1%
1.03532
 
0.1%
Other values (1449)1488
98.5%
ValueCountFrequency (%)
0.93041
0.1%
0.94621
0.1%
0.94851
0.1%
0.95671
0.1%
0.95891
0.1%
ValueCountFrequency (%)
3.67341
0.1%
3.66791
0.1%
3.61991
0.1%
3.60191
0.1%
3.54471
0.1%
2023-01-08T18:21:45.658124image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

WILLR
Numeric time series

Distinct1498
Distinct (%)0.9920529801324504
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean-44.70793410596027
Minimum-100.0
Maximum-0.0
Zeros2
Zeros (%)0.0013245033112582781
Memory size12208
2023-01-08T18:21:45.832440image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-100
5-th percentile-94.9229
Q1-70.983075
median-42.1354
Q3-17.888925
95-th percentile-3.197605
Maximum-0
Range100
Interquartile range (IQR)53.09415

Descriptive statistics

Standard deviation30.04521413
Coefficient of variation (CV)-0.6720331577
Kurtosis-1.209212713
Mean-44.70793411
Median Absolute Deviation (MAD)25.69835
Skewness-0.2421616687
Sum-67508.9805
Variance902.7148921
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value3.523012157 × 10-16
2023-01-08T18:21:45.939301image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-74.24042
 
0.1%
-02
 
0.1%
-8.20462
 
0.1%
-49.89342
 
0.1%
-1002
 
0.1%
-2.3812
 
0.1%
-52.01542
 
0.1%
-83.91812
 
0.1%
-50.17542
 
0.1%
-15.44332
 
0.1%
Other values (1488)1490
98.7%
ValueCountFrequency (%)
-1002
0.1%
-99.93871
0.1%
-99.89791
0.1%
-99.86311
0.1%
-99.81111
0.1%
ValueCountFrequency (%)
-02
0.1%
-0.09031
0.1%
-0.15671
0.1%
-0.1871
0.1%
-0.19261
0.1%
2023-01-08T18:21:46.069090image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

NATR
Numeric time series

Distinct1458
Distinct (%)0.9655629139072848
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean2.6023501324503315
Minimum1.2275
Maximum9.8866
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:46.243366image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1.2275
5-th percentile1.41341
Q12.02625
median2.5022
Q32.890575
95-th percentile3.9906
Maximum9.8866
Range8.6591
Interquartile range (IQR)0.864325

Descriptive statistics

Standard deviation1.041521973
Coefficient of variation (CV)0.4002236133
Kurtosis13.15252093
Mean2.602350132
Median Absolute Deviation (MAD)0.42665
Skewness2.851298016
Sum3929.5487
Variance1.084768021
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.001971385601
2023-01-08T18:21:46.347503image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.56743
 
0.2%
2.05492
 
0.1%
2.22092
 
0.1%
2.21462
 
0.1%
2.37332
 
0.1%
2.51822
 
0.1%
1.62872
 
0.1%
3.01072
 
0.1%
2.40112
 
0.1%
2.8152
 
0.1%
Other values (1448)1489
98.6%
ValueCountFrequency (%)
1.22751
0.1%
1.2281
0.1%
1.23281
0.1%
1.23541
0.1%
1.23881
0.1%
ValueCountFrequency (%)
9.88661
0.1%
9.33491
0.1%
9.2921
0.1%
9.21041
0.1%
9.17911
0.1%
2023-01-08T18:21:48.244924image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

DEMA
Numeric time series

NON STATIONARY
SEASONAL

Distinct1504
Distinct (%)0.9960264900662251
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean82.22658794701987
Minimum35.9805
Maximum122.6259
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:48.419087image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum35.9805
5-th percentile59.45598
Q168.309975
median77.6324
Q397.01165
95-th percentile114.705945
Maximum122.6259
Range86.6454
Interquartile range (IQR)28.701675

Descriptive statistics

Standard deviation17.9690168
Coefficient of variation (CV)0.218530493
Kurtosis-0.6347357734
Mean82.22658795
Median Absolute Deviation (MAD)11.55925
Skewness0.3390615522
Sum124162.1478
Variance322.8855647
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.1843591249
2023-01-08T18:21:48.520716image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72.86492
 
0.1%
66.52122
 
0.1%
69.7412
 
0.1%
69.69872
 
0.1%
87.29942
 
0.1%
69.03482
 
0.1%
96.06851
 
0.1%
100.88961
 
0.1%
100.65591
 
0.1%
100.34661
 
0.1%
Other values (1494)1494
98.9%
ValueCountFrequency (%)
35.98051
0.1%
36.43581
0.1%
36.47031
0.1%
37.0961
0.1%
37.45331
0.1%
ValueCountFrequency (%)
122.62591
0.1%
122.47141
0.1%
122.44731
0.1%
122.34521
0.1%
122.0361
0.1%
2023-01-08T18:21:48.654615image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

ROC
Numeric time series

Distinct1502
Distinct (%)0.9947019867549669
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean0.8311127814569536
Minimum-46.4593
Maximum42.7988
Zeros3
Zeros (%)0.001986754966887417
Memory size12208
2023-01-08T18:21:48.829884image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-46.4593
5-th percentile-15.46961
Q1-3.3702
median1.3071
Q35.5133
95-th percentile15.01862
Maximum42.7988
Range89.2581
Interquartile range (IQR)8.8835

Descriptive statistics

Standard deviation9.463502191
Coefficient of variation (CV)11.38654392
Kurtosis3.757929656
Mean0.8311127815
Median Absolute Deviation (MAD)4.42835
Skewness-0.4774163761
Sum1254.9803
Variance89.55787372
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value3.260544107 × 10-6
2023-01-08T18:21:48.935518image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03
 
0.2%
2.22942
 
0.1%
-6.32122
 
0.1%
3.89182
 
0.1%
7.18442
 
0.1%
7.21072
 
0.1%
-1.14972
 
0.1%
8.11511
 
0.1%
4.78551
 
0.1%
2.21621
 
0.1%
Other values (1492)1492
98.8%
ValueCountFrequency (%)
-46.45931
0.1%
-45.69761
0.1%
-45.18991
0.1%
-43.96141
0.1%
-43.76141
0.1%
ValueCountFrequency (%)
42.79881
0.1%
40.91481
0.1%
37.32741
0.1%
36.26021
0.1%
35.24081
0.1%
2023-01-08T18:21:49.309773image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

DX
Numeric time series

Distinct1323
Distinct (%)0.876158940397351
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean17.597110662251655
Minimum0.0038
Maximum70.6004
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:49.486831image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0.0038
5-th percentile1.282715
Q16.6804
median15.064
Q324.9283
95-th percentile43.952365
Maximum70.6004
Range70.5966
Interquartile range (IQR)18.2479

Descriptive statistics

Standard deviation13.50741753
Coefficient of variation (CV)0.7675929185
Kurtosis0.8186115587
Mean17.59711066
Median Absolute Deviation (MAD)8.8923
Skewness1.012750375
Sum26571.6371
Variance182.4503283
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value3.243400753 × 10-15
2023-01-08T18:21:49.600952image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.56453
 
0.2%
14.60613
 
0.2%
26.26543
 
0.2%
8.96253
 
0.2%
5.15193
 
0.2%
31.8973
 
0.2%
28.65763
 
0.2%
3.80852
 
0.1%
4.11322
 
0.1%
25.32962
 
0.1%
Other values (1313)1483
98.2%
ValueCountFrequency (%)
0.00381
0.1%
0.00481
0.1%
0.07912
0.1%
0.08911
0.1%
0.10061
0.1%
ValueCountFrequency (%)
70.60041
0.1%
70.17551
0.1%
67.50372
0.1%
67.06612
0.1%
66.12511
0.1%
2023-01-08T18:21:49.737742image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

Aroon Down
Numeric time series

ZEROS

Distinct21
Distinct (%)0.01390728476821192
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean44.086092715231786
Minimum0.0
Maximum100.0
Zeros221
Zeros (%)0.14635761589403973
Memory size12208
2023-01-08T18:21:49.911126image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median40
Q375
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)65

Descriptive statistics

Standard deviation35.05594136
Coefficient of variation (CV)0.7951700684
Kurtosis-1.382258606
Mean44.08609272
Median Absolute Deviation (MAD)30
Skewness0.2470505008
Sum66570
Variance1228.919024
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value5.611908045 × 10-16
2023-01-08T18:21:50.000445image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0221
 
14.6%
100134
 
8.9%
5106
 
7.0%
1085
 
5.6%
9576
 
5.0%
1576
 
5.0%
2073
 
4.8%
2565
 
4.3%
3059
 
3.9%
9059
 
3.9%
Other values (11)556
36.8%
ValueCountFrequency (%)
0221
14.6%
5106
7.0%
1085
 
5.6%
1576
 
5.0%
2073
 
4.8%
ValueCountFrequency (%)
100134
8.9%
9576
5.0%
9059
3.9%
8554
3.6%
8051
 
3.4%
2023-01-08T18:21:50.387890image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

Aroon Up
Numeric time series

ZEROS

Distinct21
Distinct (%)0.01390728476821192
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean55.70860927152318
Minimum0.0
Maximum100.0
Zeros164
Zeros (%)0.10860927152317881
Memory size12208
2023-01-08T18:21:50.559191image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120
median60
Q390
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)70

Descriptive statistics

Standard deviation35.79580729
Coefficient of variation (CV)0.6425543154
Kurtosis-1.406835909
Mean55.70860927
Median Absolute Deviation (MAD)35
Skewness-0.2568056
Sum84120
Variance1281.33982
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value9.900565589 × 10-17
2023-01-08T18:21:50.646563image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
100228
15.1%
0164
 
10.9%
95112
 
7.4%
9086
 
5.7%
8577
 
5.1%
573
 
4.8%
8069
 
4.6%
7562
 
4.1%
7058
 
3.8%
1057
 
3.8%
Other values (11)524
34.7%
ValueCountFrequency (%)
0164
10.9%
573
4.8%
1057
 
3.8%
1548
 
3.2%
2048
 
3.2%
ValueCountFrequency (%)
100228
15.1%
95112
7.4%
9086
 
5.7%
8577
 
5.1%
8069
 
4.6%
2023-01-08T18:21:50.760298image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

Chaikin A/D
Numeric time series

NON STATIONARY
SEASONAL

Distinct1507
Distinct (%)0.9980132450331126
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean314647491.4182107
Minimum293056307.5089
Maximum329836207.3953
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:50.936008image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum293056307.5
5-th percentile301289650.5
Q1307199420.3
median316616700.9
Q3320849994.5
95-th percentile325254643.6
Maximum329836207.4
Range36779899.89
Interquartile range (IQR)13650574.19

Descriptive statistics

Standard deviation7833195.682
Coefficient of variation (CV)0.02489514741
Kurtosis-0.8183869797
Mean314647491.4
Median Absolute Deviation (MAD)5262863.418
Skewness-0.4774119248
Sum4.75117712 × 1011
Variance6.13589546 × 1013
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.3296629976
2023-01-08T18:21:51.051727image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
304806797.42
 
0.1%
319779121.92
 
0.1%
323879932.62
 
0.1%
321758638.61
 
0.1%
321872604.71
 
0.1%
321260015.91
 
0.1%
3214099991
 
0.1%
3219998241
 
0.1%
321461327.81
 
0.1%
321035006.81
 
0.1%
Other values (1497)1497
99.1%
ValueCountFrequency (%)
293056307.51
0.1%
293557335.31
0.1%
2938410951
0.1%
293957001.81
0.1%
294490108.41
0.1%
ValueCountFrequency (%)
329836207.41
0.1%
328719319.31
0.1%
328319236.41
0.1%
328304327.41
0.1%
3281712301
0.1%
2023-01-08T18:21:51.190395image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

TRANGE
Real number (ℝ≥0)

Distinct1338
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.109211258
Minimum0.391
Maximum10.6432
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2023-01-08T18:21:51.384026image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0.391
5-th percentile0.79319
Q11.2426
median1.85395
Q32.723975
95-th percentile4.23253
Maximum10.6432
Range10.2522
Interquartile range (IQR)1.481375

Descriptive statistics

Standard deviation1.185689574
Coefficient of variation (CV)0.562148324
Kurtosis5.819107875
Mean2.109211258
Median Absolute Deviation (MAD)0.69125
Skewness1.769148381
Sum3184.909
Variance1.405859765
MonotonicityNot monotonic
2023-01-08T18:21:51.506660image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.14325
 
0.3%
1.05983
 
0.2%
1.64573
 
0.2%
2.15173
 
0.2%
1.13423
 
0.2%
0.69863
 
0.2%
1.43173
 
0.2%
1.46473
 
0.2%
1.49833
 
0.2%
0.70283
 
0.2%
Other values (1328)1478
97.9%
ValueCountFrequency (%)
0.3911
0.1%
0.40892
0.1%
0.41141
0.1%
0.43451
0.1%
0.46571
0.1%
ValueCountFrequency (%)
10.64321
0.1%
9.95171
0.1%
9.2951
0.1%
8.41741
0.1%
7.98241
0.1%

ADOSC
Numeric time series

UNIQUE

Distinct1510
Distinct (%)1.0
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean26294.1411794702
Minimum-4542147.3006
Maximum2352539.8552
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:51.613139image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4542147.301
5-th percentile-1081925.31
Q1-379816.8306
median42170.13205
Q3468493.634
95-th percentile1172922.555
Maximum2352539.855
Range6894687.156
Interquartile range (IQR)848310.4646

Descriptive statistics

Standard deviation746520.1677
Coefficient of variation (CV)28.39112191
Kurtosis3.985912256
Mean26294.14118
Median Absolute Deviation (MAD)425478.0715
Skewness-0.7886814754
Sum39704153.18
Variance5.572923607 × 1011
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value7.146317235 × 10-19
2023-01-08T18:21:51.724154image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-271380.4431
 
0.1%
489324.57741
 
0.1%
93801.04711
 
0.1%
-64022.82551
 
0.1%
40870.7251
 
0.1%
171541.29061
 
0.1%
-5914.81271
 
0.1%
-19551.62441
 
0.1%
283041.75251
 
0.1%
279747.19721
 
0.1%
Other values (1500)1500
99.3%
ValueCountFrequency (%)
-4542147.3011
0.1%
-4383806.8011
0.1%
-4168310.1791
0.1%
-3828913.7591
0.1%
-3438215.9291
0.1%
ValueCountFrequency (%)
2352539.8551
0.1%
2334894.9241
0.1%
2253994.9331
0.1%
2209519.1361
0.1%
2206465.6921
0.1%
2023-01-08T18:21:51.857385image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

OBV
Numeric time series

NON STATIONARY
SEASONAL

Distinct1506
Distinct (%)0.9973509933774835
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean136958979.75231788
Minimum91124950.0
Maximum160106291.0
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:52.033199image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum91124950
5-th percentile104862121.2
Q1132335078.5
median139974455
Q3146678373.2
95-th percentile151227407.2
Maximum160106291
Range68981341
Interquartile range (IQR)14343294.75

Descriptive statistics

Standard deviation13272092.3
Coefficient of variation (CV)0.0969056014
Kurtosis1.801620017
Mean136958979.8
Median Absolute Deviation (MAD)7014322.5
Skewness-1.439367117
Sum2.068080594 × 1011
Variance1.76148434 × 1014
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.01046288189
2023-01-08T18:21:52.144993image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1482168402
 
0.1%
1231224212
 
0.1%
1409853452
 
0.1%
1388867822
 
0.1%
1419080281
 
0.1%
1446414651
 
0.1%
1439817541
 
0.1%
1448237851
 
0.1%
1437966761
 
0.1%
1426020811
 
0.1%
Other values (1496)1496
99.1%
ValueCountFrequency (%)
911249501
0.1%
921055201
0.1%
923478201
0.1%
930154211
0.1%
940382591
0.1%
ValueCountFrequency (%)
1601062911
0.1%
1582338501
0.1%
1581847691
0.1%
1565495401
0.1%
1563095711
0.1%
2023-01-08T18:21:52.279929image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

WMA
Numeric time series

NON STATIONARY
SEASONAL

Distinct1505
Distinct (%)0.9966887417218543
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean82.14194562913906
Minimum40.9358
Maximum120.5639
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:52.458172image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum40.9358
5-th percentile60.45563
Q168.193625
median77.20855
Q395.7512
95-th percentile114.16527
Maximum120.5639
Range79.6281
Interquartile range (IQR)27.557575

Descriptive statistics

Standard deviation17.70839975
Coefficient of variation (CV)0.215582911
Kurtosis-0.7688246649
Mean82.14194563
Median Absolute Deviation (MAD)11.3308
Skewness0.373415308
Sum124034.3379
Variance313.5874218
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.4078765937
2023-01-08T18:21:52.570574image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.11672
 
0.1%
65.49922
 
0.1%
65.72212
 
0.1%
71.47122
 
0.1%
102.45782
 
0.1%
95.52411
 
0.1%
96.58141
 
0.1%
96.23081
 
0.1%
95.68821
 
0.1%
95.16321
 
0.1%
Other values (1495)1495
99.0%
ValueCountFrequency (%)
40.93581
0.1%
40.94451
0.1%
40.96091
0.1%
41.04691
0.1%
41.09851
0.1%
ValueCountFrequency (%)
120.56391
0.1%
120.55821
0.1%
120.40011
0.1%
120.39871
0.1%
120.27581
0.1%
2023-01-08T18:21:52.705770image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

ULTOSC
Numeric time series

Distinct1502
Distinct (%)0.9947019867549669
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean50.427229735099345
Minimum13.265
Maximum78.6428
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:53.116655image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum13.265
5-th percentile33.59061
Q144.01355
median50.83735
Q357.2527
95-th percentile66.242775
Maximum78.6428
Range65.3778
Interquartile range (IQR)13.23915

Descriptive statistics

Standard deviation9.900949106
Coefficient of variation (CV)0.1963413251
Kurtosis0.09072335126
Mean50.42722974
Median Absolute Deviation (MAD)6.6277
Skewness-0.2735996679
Sum76145.1169
Variance98.02879321
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value2.277614701 × 10-9
2023-01-08T18:21:53.226259image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57.5952
 
0.1%
46.4142
 
0.1%
55.83442
 
0.1%
56.98782
 
0.1%
38.47232
 
0.1%
45.68992
 
0.1%
60.71542
 
0.1%
57.10852
 
0.1%
56.66151
 
0.1%
53.6691
 
0.1%
Other values (1492)1492
98.8%
ValueCountFrequency (%)
13.2651
0.1%
14.36091
0.1%
15.17371
0.1%
17.73781
0.1%
19.72541
0.1%
ValueCountFrequency (%)
78.64281
0.1%
76.33961
0.1%
75.62391
0.1%
75.18841
0.1%
75.04011
0.1%
2023-01-08T18:21:53.360483image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

AROONOSC
Numeric time series

Distinct40
Distinct (%)0.026490066225165563
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean11.62251655629139
Minimum-100.0
Maximum100.0
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:53.536344image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-100
5-th percentile-85
Q1-45
median30
Q365
95-th percentile95
Maximum100
Range200
Interquartile range (IQR)110

Descriptive statistics

Standard deviation61.45369975
Coefficient of variation (CV)5.287469323
Kurtosis-1.380996776
Mean11.62251656
Median Absolute Deviation (MAD)55
Skewness-0.262982873
Sum17550
Variance3776.557213
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value1.910377245 × 10-15
2023-01-08T18:21:53.642772image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
55111
 
7.4%
5085
 
5.6%
8062
 
4.1%
8561
 
4.0%
-3559
 
3.9%
-5556
 
3.7%
-4555
 
3.6%
4553
 
3.5%
-6551
 
3.4%
9048
 
3.2%
Other values (30)869
57.5%
ValueCountFrequency (%)
-10020
1.3%
-9532
2.1%
-9018
1.2%
-8534
2.3%
-8026
1.7%
ValueCountFrequency (%)
10042
2.8%
9543
2.8%
9048
3.2%
8561
4.0%
8062
4.1%
2023-01-08T18:21:53.773299image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

TEMA
Numeric time series

NON STATIONARY
SEASONAL

Distinct1508
Distinct (%)0.9986754966887417
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean82.22326582781457
Minimum33.2663
Maximum123.0895
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:53.944891image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum33.2663
5-th percentile58.926285
Q168.288775
median77.6721
Q396.673575
95-th percentile113.965925
Maximum123.0895
Range89.8232
Interquartile range (IQR)28.3848

Descriptive statistics

Standard deviation17.96870541
Coefficient of variation (CV)0.2185355353
Kurtosis-0.6073974836
Mean82.22326583
Median Absolute Deviation (MAD)11.4772
Skewness0.3313560131
Sum124157.1314
Variance322.8743743
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.1306981999
2023-01-08T18:21:54.046686image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101.77042
 
0.1%
70.86162
 
0.1%
63.44121
 
0.1%
95.4281
 
0.1%
99.12491
 
0.1%
98.23771
 
0.1%
97.56451
 
0.1%
96.16561
 
0.1%
94.60051
 
0.1%
94.38681
 
0.1%
Other values (1498)1498
99.2%
ValueCountFrequency (%)
33.26631
0.1%
33.30181
0.1%
34.28341
0.1%
34.62761
0.1%
34.9521
0.1%
ValueCountFrequency (%)
123.08951
0.1%
122.98491
0.1%
122.96231
0.1%
122.58641
0.1%
122.4351
0.1%
2023-01-08T18:21:54.174968image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

ADXR
Numeric time series

NON STATIONARY
SEASONAL

Distinct1505
Distinct (%)0.9966887417218543
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean17.942534437086092
Minimum8.5635
Maximum41.4171
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:54.350883image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum8.5635
5-th percentile10.36562
Q113.527025
median16.5661
Q321.194775
95-th percentile29.05329
Maximum41.4171
Range32.8536
Interquartile range (IQR)7.66775

Descriptive statistics

Standard deviation5.962998084
Coefficient of variation (CV)0.3323386729
Kurtosis1.36509569
Mean17.94253444
Median Absolute Deviation (MAD)3.7597
Skewness1.081081091
Sum27093.227
Variance35.55734615
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value1.125849053 × 10-5
2023-01-08T18:21:54.457180image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.48342
 
0.1%
19.13422
 
0.1%
13.80232
 
0.1%
14.94432
 
0.1%
12.8432
 
0.1%
29.52111
 
0.1%
28.39691
 
0.1%
29.04461
 
0.1%
28.41651
 
0.1%
27.85441
 
0.1%
Other values (1495)1495
99.0%
ValueCountFrequency (%)
8.56351
0.1%
8.59841
0.1%
8.60491
0.1%
8.62541
0.1%
8.64421
0.1%
ValueCountFrequency (%)
41.41711
0.1%
41.33921
0.1%
41.23711
0.1%
40.74981
0.1%
40.59031
0.1%
2023-01-08T18:21:54.588596image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

MOM
Numeric time series

Distinct1488
Distinct (%)0.9854304635761589
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean0.2618318543046358
Minimum-31.0081
Maximum19.4666
Zeros3
Zeros (%)0.001986754966887417
Memory size12208
2023-01-08T18:21:54.761005image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-31.0081
5-th percentile-13.207285
Q1-2.80105
median1.07445
Q34.35725
95-th percentile10.778465
Maximum19.4666
Range50.4747
Interquartile range (IQR)7.1583

Descriptive statistics

Standard deviation7.066978511
Coefficient of variation (CV)26.99052233
Kurtosis1.916429639
Mean0.2618318543
Median Absolute Deviation (MAD)3.50575
Skewness-0.8771331776
Sum395.3661
Variance49.94218527
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value1.417321527 × 10-6
2023-01-08T18:21:54.868773image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.39083
 
0.2%
03
 
0.2%
0.2712
 
0.1%
1.91482
 
0.1%
1.92222
 
0.1%
-1.91512
 
0.1%
-5.49392
 
0.1%
8.58322
 
0.1%
-5.23322
 
0.1%
1.18042
 
0.1%
Other values (1478)1488
98.5%
ValueCountFrequency (%)
-31.00811
0.1%
-30.86261
0.1%
-30.20921
0.1%
-29.32131
0.1%
-29.24531
0.1%
ValueCountFrequency (%)
19.46661
0.1%
18.34191
0.1%
17.09011
0.1%
17.08371
0.1%
16.87981
0.1%
2023-01-08T18:21:54.999542image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

BOP
Real number (ℝ)

Distinct1414
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004078211921
Minimum-1
Maximum0.9913
Zeros3
Zeros (%)0.2%
Negative747
Negative (%)49.5%
Memory size11.9 KiB
2023-01-08T18:21:55.190368image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8125
Q1-0.4204
median0.01155
Q30.4439
95-th percentile0.79598
Maximum0.9913
Range1.9913
Interquartile range (IQR)0.8643

Descriptive statistics

Standard deviation0.5145987821
Coefficient of variation (CV)126.1824525
Kurtosis-1.131624334
Mean0.004078211921
Median Absolute Deviation (MAD)0.43295
Skewness-0.03422045135
Sum6.1581
Variance0.2648119066
MonotonicityNot monotonic
2023-01-08T18:21:55.311888image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.71434
 
0.3%
-0.33334
 
0.3%
-0.44
 
0.3%
-0.59133
 
0.2%
0.63
 
0.2%
0.13
 
0.2%
03
 
0.2%
0.66673
 
0.2%
-0.11813
 
0.2%
-0.64362
 
0.1%
Other values (1404)1478
97.9%
ValueCountFrequency (%)
-11
0.1%
-0.99361
0.1%
-0.99351
0.1%
-0.99281
0.1%
-0.98431
0.1%
ValueCountFrequency (%)
0.99131
0.1%
0.991
0.1%
0.98031
0.1%
0.94221
0.1%
0.93271
0.1%

SAR
Numeric time series

NON STATIONARY
SEASONAL

Distinct1499
Distinct (%)0.9927152317880795
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean81.93323165562913
Minimum31.7173
Maximum125.2312
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:55.421703image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum31.7173
5-th percentile58.80285
Q168.373475
median77.0475
Q395.223475
95-th percentile114.04947
Maximum125.2312
Range93.5139
Interquartile range (IQR)26.85

Descriptive statistics

Standard deviation18.2927194
Coefficient of variation (CV)0.223263736
Kurtosis-0.432944424
Mean81.93323166
Median Absolute Deviation (MAD)11.72225
Skewness0.3205448842
Sum123719.1798
Variance334.6235831
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.2758564177
2023-01-08T18:21:55.522199image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
67.29522
 
0.1%
89.25492
 
0.1%
63.98352
 
0.1%
107.07462
 
0.1%
62.62942
 
0.1%
83.28512
 
0.1%
81.66272
 
0.1%
89.21232
 
0.1%
103.4942
 
0.1%
82.68082
 
0.1%
Other values (1489)1490
98.7%
ValueCountFrequency (%)
31.71731
0.1%
31.84761
0.1%
32.1341
0.1%
32.41461
0.1%
32.68971
0.1%
ValueCountFrequency (%)
125.23121
0.1%
125.13781
0.1%
124.87421
0.1%
124.46491
0.1%
124.06781
0.1%
2023-01-08T18:21:55.648619image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

PPO
Numeric time series

Distinct1495
Distinct (%)0.9900662251655629
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean0.1348033112582782
Minimum-21.6488
Maximum11.804
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:55.823170image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-21.6488
5-th percentile-5.76105
Q1-1.21185
median0.49625
Q31.9744
95-th percentile4.97994
Maximum11.804
Range33.4528
Interquartile range (IQR)3.18625

Descriptive statistics

Standard deviation3.516037658
Coefficient of variation (CV)26.08272471
Kurtosis6.591047915
Mean0.1348033113
Median Absolute Deviation (MAD)1.6027
Skewness-1.444371012
Sum203.553
Variance12.36252081
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value2.631887553 × 10-5
2023-01-08T18:21:55.927516image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.26472
 
0.1%
-0.38632
 
0.1%
2.80042
 
0.1%
0.46182
 
0.1%
0.12152
 
0.1%
-2.47842
 
0.1%
0.83832
 
0.1%
0.41152
 
0.1%
0.86122
 
0.1%
-0.06932
 
0.1%
Other values (1485)1490
98.7%
ValueCountFrequency (%)
-21.64881
0.1%
-21.08831
0.1%
-20.67811
0.1%
-19.99961
0.1%
-19.76891
0.1%
ValueCountFrequency (%)
11.8041
0.1%
11.52221
0.1%
11.45911
0.1%
10.81931
0.1%
10.59321
0.1%
2023-01-08T18:21:56.056070image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

ROCR
Numeric time series

Distinct1123
Distinct (%)0.7437086092715232
Missing0
Missing (%)0.0
Infinite0
Infinite (%)0.0
Mean1.0083114569536422
Minimum0.5354
Maximum1.428
Zeros0
Zeros (%)0.0
Memory size12208
2023-01-08T18:21:56.227464image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0.5354
5-th percentile0.84529
Q10.9663
median1.01305
Q31.0551
95-th percentile1.150165
Maximum1.428
Range0.8926
Interquartile range (IQR)0.0888

Descriptive statistics

Standard deviation0.09463543278
Coefficient of variation (CV)0.09385535801
Kurtosis3.757853694
Mean1.008311457
Median Absolute Deviation (MAD)0.04425
Skewness-0.4774670295
Sum1522.5503
Variance0.008955865137
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value3.262992175 × 10-6
2023-01-08T18:21:56.333886image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.02575
 
0.3%
1.02865
 
0.3%
1.0124
 
0.3%
1.0024
 
0.3%
1.02264
 
0.3%
1.00194
 
0.3%
1.0194
 
0.3%
1.05994
 
0.3%
1.00794
 
0.3%
1.02064
 
0.3%
Other values (1113)1468
97.2%
ValueCountFrequency (%)
0.53541
0.1%
0.5431
0.1%
0.54811
0.1%
0.56041
0.1%
0.56241
0.1%
ValueCountFrequency (%)
1.4281
0.1%
1.40911
0.1%
1.37331
0.1%
1.36261
0.1%
1.35241
0.1%
2023-01-08T18:21:56.964303image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ACF and PACF

Forward_Return
Real number (ℝ)

Distinct1504
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0002556075668
Minimum-0.1360397322
Maximum0.1202501203
Zeros6
Zeros (%)0.4%
Negative721
Negative (%)47.7%
Memory size11.9 KiB
2023-01-08T18:21:57.152250image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-0.1360397322
5-th percentile-0.02971969411
Q1-0.009726986462
median0.0006133327277
Q30.01020563704
95-th percentile0.03085574861
Maximum0.1202501203
Range0.2562898525
Interquartile range (IQR)0.0199326235

Descriptive statistics

Standard deviation0.0203786019
Coefficient of variation (CV)79.72612921
Kurtosis6.630242601
Mean0.0002556075668
Median Absolute Deviation (MAD)0.009900757465
Skewness-0.4491649511
Sum0.3859674259
Variance0.0004152874155
MonotonicityNot monotonic
2023-01-08T18:21:57.270770image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
06
 
0.4%
0.0044546264482
 
0.1%
0.016596417281
 
0.1%
0.013544930761
 
0.1%
0.026966501821
 
0.1%
0.013619597091
 
0.1%
-0.017470495311
 
0.1%
0.0046680982171
 
0.1%
0.055999211281
 
0.1%
0.028910529521
 
0.1%
Other values (1494)1494
98.9%
ValueCountFrequency (%)
-0.13603973221
0.1%
-0.13343717551
0.1%
-0.12043892121
0.1%
-0.1134183621
0.1%
-0.10734582191
0.1%
ValueCountFrequency (%)
0.12025012031
0.1%
0.11288534041
0.1%
0.091959443531
0.1%
0.083094555871
0.1%
0.074873737371
0.1%

Return_Target
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2543046358
Minimum0
Maximum1
Zeros1126
Zeros (%)74.6%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2023-01-08T18:21:57.364280image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4356138847
Coefficient of variation (CV)1.712960849
Kurtosis-0.7251060461
Mean0.2543046358
Median Absolute Deviation (MAD)0
Skewness1.12953801
Sum384
Variance0.1897594565
MonotonicityNot monotonic
2023-01-08T18:21:57.440220image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
01126
74.6%
1384
 
25.4%
ValueCountFrequency (%)
01126
74.6%
1384
 
25.4%
ValueCountFrequency (%)
1384
 
25.4%
01126
74.6%